January 2023
Intermediate to advanced
288 pages
6h 6m
Chinese
Content preview from 移动端AI与ML应用开发：基于iOS和Android
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108
第
7
章
iOS 上使用 ML Kit 的文本处理
应用程序
在第 6 章中，你了解了如何在 iOS 应用程序中使用 ML Kit 来处理一些计算机视觉场景，
包括图像识别和物体检测。也许机器学习应用程序的下一个最大部分就是那些执行自然
语言处理任务的应用程序。因此，在本章中，我们将通过几个示例来了解 ML Kit 中的
模型如何为你提供一些常见的机器学习任务，包括从文本中提取实体，例如识别电子邮
件地址或日期；进行手写识别，将笔画转为文字；分析对话来生成智能回复。如果你想
创建使用其他自然语言处理概念和自定义模型的应用程序，例如对文本进行分类，那么
你需要构建自己的模型，我们将在后续章节中探讨这一点。
7.1
实体提取
通常，你会希望从文本中提取重要信息。毫无疑问，你已经见过可以确定一段文本中何
时有地址并自动生成指向该地址地图的链接的应用程序，或者其他理解电子邮件地址并
生成链接的应用程序，该链接让你启动电子邮件应用程序来将邮件发送到该地址。这个
概念称为实体提取，在本节中，你将探索为你执行这个操作的完整模型。这是 ML 的一
个非常酷的实现，因为如果考虑如何用基于规则的方法来解决这个问题，那么你将要编
写大量的代码！
因此，请考虑图 7-1，其中我向我的朋友 Nizhoni 发送了一条消息，其内容包含一些详
细信息。阅读后，你自动从中提取有价值的信息并对其进行解析。你会看到“明天下午
5 点”这样的词，并自动推断日期和时间。代码将有很多 if...then 语句！
正文.indd 108正文.indd ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.